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CeDR Atlas: a knowledgebase of cellular drug response

Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-c...

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Autores principales: Wang, Yin-Ying, Kang, Hongen, Xu, Tianyi, Hao, Lili, Bao, Yiming, Jia, Peilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728137/
https://www.ncbi.nlm.nih.gov/pubmed/34634794
http://dx.doi.org/10.1093/nar/gkab897
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author Wang, Yin-Ying
Kang, Hongen
Xu, Tianyi
Hao, Lili
Bao, Yiming
Jia, Peilin
author_facet Wang, Yin-Ying
Kang, Hongen
Xu, Tianyi
Hao, Lili
Bao, Yiming
Jia, Peilin
author_sort Wang, Yin-Ying
collection PubMed
description Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-cell RNA sequencing (scRNA-seq) data, it is now possible to study the drug response to different treatments at the single cell resolution. Here, we present CeDR Atlas (available at https://ngdc.cncb.ac.cn/cedr), a knowledgebase reporting computational inference of cellular drug response for hundreds of cell types from various tissues. We took advantage of the high-throughput profiling of drug-induced gene expression available through the Connectivity Map resource (CMap) as well as hundreds of scRNA-seq data covering cells from a wide variety of organs/tissues, diseases, and conditions. Currently, CeDR maintains the results for more than 582 single cell data objects for human, mouse and cell lines, including about 140 phenotypes and 1250 tissue-cell combination types. All the results can be explored and searched by keywords for drugs, cell types, tissues, diseases, and signature genes. Overall, CeDR fine maps drug response at cellular resolution and sheds lights on the design of combinatorial treatments, drug resistance and even drug side effects.
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spelling pubmed-87281372022-01-05 CeDR Atlas: a knowledgebase of cellular drug response Wang, Yin-Ying Kang, Hongen Xu, Tianyi Hao, Lili Bao, Yiming Jia, Peilin Nucleic Acids Res Database Issue Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-cell RNA sequencing (scRNA-seq) data, it is now possible to study the drug response to different treatments at the single cell resolution. Here, we present CeDR Atlas (available at https://ngdc.cncb.ac.cn/cedr), a knowledgebase reporting computational inference of cellular drug response for hundreds of cell types from various tissues. We took advantage of the high-throughput profiling of drug-induced gene expression available through the Connectivity Map resource (CMap) as well as hundreds of scRNA-seq data covering cells from a wide variety of organs/tissues, diseases, and conditions. Currently, CeDR maintains the results for more than 582 single cell data objects for human, mouse and cell lines, including about 140 phenotypes and 1250 tissue-cell combination types. All the results can be explored and searched by keywords for drugs, cell types, tissues, diseases, and signature genes. Overall, CeDR fine maps drug response at cellular resolution and sheds lights on the design of combinatorial treatments, drug resistance and even drug side effects. Oxford University Press 2021-10-11 /pmc/articles/PMC8728137/ /pubmed/34634794 http://dx.doi.org/10.1093/nar/gkab897 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Wang, Yin-Ying
Kang, Hongen
Xu, Tianyi
Hao, Lili
Bao, Yiming
Jia, Peilin
CeDR Atlas: a knowledgebase of cellular drug response
title CeDR Atlas: a knowledgebase of cellular drug response
title_full CeDR Atlas: a knowledgebase of cellular drug response
title_fullStr CeDR Atlas: a knowledgebase of cellular drug response
title_full_unstemmed CeDR Atlas: a knowledgebase of cellular drug response
title_short CeDR Atlas: a knowledgebase of cellular drug response
title_sort cedr atlas: a knowledgebase of cellular drug response
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728137/
https://www.ncbi.nlm.nih.gov/pubmed/34634794
http://dx.doi.org/10.1093/nar/gkab897
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